The improvement of efficiency is one of the main areas of research in electrical machines today. Three-phase induction machines are widely used in industry, motivating researchers to explore methods to increase their ...
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While there has been significant progress in the application of transfer learning within reinforcement learning, most existing research primarily focuses on online reinforcement learning, with few studies addressing t...
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We present ICE-TIDE, a method for cryogenic electron tomography (cryo-ET) that simultaneously aligns observations and reconstructs a high-resolution volume. The alignment of tilt series in cryo-ET is a major problem l...
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We report, for the first time, electric field periodic poling of single-crystal thin film barium titanate grown using pulsed-laser-deposition on dysprosium scandate substrate. Uniform domains with periods 5-7 μm are ...
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This article presents a new family of transformerless buck-boost voltage-source inverter topologies for photovoltaic systems. Due to variations in irradiance, temperature, and shading effects, the terminal voltages of...
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The wholly wholesale transition into remote and hybrid workspaces is characteristic of modern-day work settings. As more and more firms adopt such flexible models, it is important to note, their implications on employ...
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ISBN:
(数字)9798350357509
ISBN:
(纸本)9798350357516
The wholly wholesale transition into remote and hybrid workspaces is characteristic of modern-day work settings. As more and more firms adopt such flexible models, it is important to note, their implications on employee wellness and productivity. This paper uses machine learning techniques in order to understand the effects of mental distancing and hybridization on various key results such as the mental state of the employees, balance between their work and private life, separation from the society, as well as productivity levels. With a sample size of 5000 employees collect from kaggle, we determine the advantages and disadvantages these work models present. In other regards, geographical larger shifts create practical benefits including greater flexibility and autonomy plus productivity. However, such dramatic shifts create higher work-related stress, greater social tension and isolation, as well as challenges with workplace culture. AI, or more precisely machine learning, uncovers concepts in relation to work models in this paper, fico that enable firms to better personate their constituents and the workforce. Reasonable conclusions could be drawn so as flexible working arrangements benefit in reducing work-life conflict however improved organizational structure within the companies is needed to have such benefits due. Mental health as one of the resources, alongside technology will assist in such transition. This paper is a step forward for HR practitioners.
We propose and demonstrate a data-driven plasmonic metascreen that efficiently absorbs incident light over a wide spectral range in an ultra-thin silicon *** embedding a double-nanoring silver array within a 20 nm ult...
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We propose and demonstrate a data-driven plasmonic metascreen that efficiently absorbs incident light over a wide spectral range in an ultra-thin silicon *** embedding a double-nanoring silver array within a 20 nm ultrathin amorphous silicon(a-Si)layer,we achieve a significant enhancement of light *** enhancement arises from the interaction between the resonant cavity modes and localized plasmonic modes,requiring precise tuning of plasmon resonances to match the absorption region of the silicon active *** facilitate the device design and improve light absorption without increasing the thickness of the active layer,we develop a deep learning framework,which learns to map from the absorption spectra to the design *** inverse design strategy helps to tune the absorption for selective spectral *** optimized design surpasses the bare silicon planar device,exhibiting a remarkable enhancement of over 100％.Experimental validation confirms the broadband enhancement of light absorption in the proposed *** proposed metascreen absorber holds great potential for light harvesting applications and may be leveraged to improve the light conversion efficiency of ultra-thin silicon solar cells,photodetectors,and optical filters.
In our study, we explore methods for detecting unwanted content lurking in visual datasets. We provide a theoretical analysis demonstrating that a model capable of successfully partitioning visual data can be obtained...
The circular economy represents a critical pathway toward achieving sustainable development goals through responsible resource production and consumption. Monitoring progress toward implementing a circular economy in ...
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Supervisory Control and Data Acquisition (SCADA) systems are utilized extensively in critical power grid infrastructures. Modern SCADA systems have been proven to be susceptible to cyber-security attacks and require i...
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